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Adverse drug reactions in drug information databases: does presentation affect interpretation?

OBJECTIVE: Formatting of adverse drug reaction (ADR) information differs among drug information (DI) resources and may impact clinical decision-making. The objective of this study was to determine whether ADR formatting impacts adverse event interpretation by pharmacy practitioners and students. MET...

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Autores principales: McConachie, Sean M., Giuliano, Christopher A., Mohammad, Insaf, Kale-Pradhan, Pramodini B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medical Library Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919994/
https://www.ncbi.nlm.nih.gov/pubmed/31897054
http://dx.doi.org/10.5195/jmla.2020.748
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author McConachie, Sean M.
Giuliano, Christopher A.
Mohammad, Insaf
Kale-Pradhan, Pramodini B.
author_facet McConachie, Sean M.
Giuliano, Christopher A.
Mohammad, Insaf
Kale-Pradhan, Pramodini B.
author_sort McConachie, Sean M.
collection PubMed
description OBJECTIVE: Formatting of adverse drug reaction (ADR) information differs among drug information (DI) resources and may impact clinical decision-making. The objective of this study was to determine whether ADR formatting impacts adverse event interpretation by pharmacy practitioners and students. METHODS: Participants were randomized to receive ADR information in a comparative quantitative (CQUANT), noncomparative quantitative (NQUANT), or noncomparative qualitative (NQUAL) format to interpret 3 clinical vignettes. Vignettes involved patients presenting with adverse events that varied in the extent to which they were associated with a medication. The primary outcome was interpretation of the likelihood of medication-induced adverse events on a 10-point Likert scale. Lower scoring on likelihood (i.e., ADR deemed unlikely) reflected more appropriate interpretation. Linear regression was performed to analyze the effects of ADR information format on the primary outcome. RESULTS: A total of 108 participants completed the study (39 students and 69 pharmacists). Overall, the CQUANT group had the lowest average likelihood compared to NQUAL (4.0 versus 5.4; p<0.01) and NQUANT (4.0 versus 4.9; p=0.016) groups. There was no difference between NQUAL and NQUANT groups (5.4 versus 4.9; p=0.14). In the final model, at least 2 years of postgraduate training (−1.1; 95% CI: −1.8 to −0.3; p<0.01) and CQUANT formatting (−1.3; 95% CI: −0.9 to −1.7; p<0.01) were associated with reduced likelihood. CONCLUSIONS: Formatting impacts pharmacists’ and pharmacy students’ interpretation of ADR information. CQUANT formatting and at least two years of postgraduate training improved interpretation of adverse events.
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spelling pubmed-69199942020-01-03 Adverse drug reactions in drug information databases: does presentation affect interpretation? McConachie, Sean M. Giuliano, Christopher A. Mohammad, Insaf Kale-Pradhan, Pramodini B. J Med Libr Assoc Original Investigation OBJECTIVE: Formatting of adverse drug reaction (ADR) information differs among drug information (DI) resources and may impact clinical decision-making. The objective of this study was to determine whether ADR formatting impacts adverse event interpretation by pharmacy practitioners and students. METHODS: Participants were randomized to receive ADR information in a comparative quantitative (CQUANT), noncomparative quantitative (NQUANT), or noncomparative qualitative (NQUAL) format to interpret 3 clinical vignettes. Vignettes involved patients presenting with adverse events that varied in the extent to which they were associated with a medication. The primary outcome was interpretation of the likelihood of medication-induced adverse events on a 10-point Likert scale. Lower scoring on likelihood (i.e., ADR deemed unlikely) reflected more appropriate interpretation. Linear regression was performed to analyze the effects of ADR information format on the primary outcome. RESULTS: A total of 108 participants completed the study (39 students and 69 pharmacists). Overall, the CQUANT group had the lowest average likelihood compared to NQUAL (4.0 versus 5.4; p<0.01) and NQUANT (4.0 versus 4.9; p=0.016) groups. There was no difference between NQUAL and NQUANT groups (5.4 versus 4.9; p=0.14). In the final model, at least 2 years of postgraduate training (−1.1; 95% CI: −1.8 to −0.3; p<0.01) and CQUANT formatting (−1.3; 95% CI: −0.9 to −1.7; p<0.01) were associated with reduced likelihood. CONCLUSIONS: Formatting impacts pharmacists’ and pharmacy students’ interpretation of ADR information. CQUANT formatting and at least two years of postgraduate training improved interpretation of adverse events. Medical Library Association 2020-01 2020-01-01 /pmc/articles/PMC6919994/ /pubmed/31897054 http://dx.doi.org/10.5195/jmla.2020.748 Text en Copyright: © 2020, Authors. Articles in this journal are licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Investigation
McConachie, Sean M.
Giuliano, Christopher A.
Mohammad, Insaf
Kale-Pradhan, Pramodini B.
Adverse drug reactions in drug information databases: does presentation affect interpretation?
title Adverse drug reactions in drug information databases: does presentation affect interpretation?
title_full Adverse drug reactions in drug information databases: does presentation affect interpretation?
title_fullStr Adverse drug reactions in drug information databases: does presentation affect interpretation?
title_full_unstemmed Adverse drug reactions in drug information databases: does presentation affect interpretation?
title_short Adverse drug reactions in drug information databases: does presentation affect interpretation?
title_sort adverse drug reactions in drug information databases: does presentation affect interpretation?
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919994/
https://www.ncbi.nlm.nih.gov/pubmed/31897054
http://dx.doi.org/10.5195/jmla.2020.748
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